Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...

The Smart+ serves as the entry point for the Sierra range, making the premium mid-size SUV more accessible to a broader audience. Despite its positioning as the base model, the Sierra Smart+ is ...

LLMs or large language models are a type of Artificial Intelligence (AI) that can understand and generate human language, based on probability. LLMs are built on transformer-based neural networks and ...

The curious minds at ColdFusion break down Tesla’s $25K Model and battery leap. This matters because it could make electric vehicles more accessible and accelerate the shift toward sustainable ...

Abstract: The probit regression model is a model used to analyze the relationship between categorical response variables, with predictive variables that are numerical, categorical, or the combination ...

Market capitalization remains the most widely cited metric, offering a quick snapshot of a crypto asset’s size and market popularity Market Cap is the most common metric, but it reflects sentiment ...

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HIV and tuberculosis (TB) remain closely linked public health threats in sub-Saharan Africa, with South Africa bearing the highest burden of both diseases. In KwaZulu-Natal, where HIV prevalence peaks ...

Banks use internal scoring models, which may or may not rely on FICO scores. Credit reviews occur monthly, but triggers like debt, missed payments, and payment changes can increase this. They ...

ABSTRACT: This paper investigates the influence of environmental regulations on the adoption of Corporate Social Responsibility practices among Small and Medium-sized Enterprises in Cameroon. It ...